Tài liệu IEEE - 2nd (đọc kỹ bài đầu tiên trước khi gửi yêu cầu)

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Nhờ bạn docat down giúp cho một số tài liệu IEEE sau:
+ P977_D2.9, Sep 2006
Unapproved IEEE Draft Guide to Installation of Foundations for Transmission Line Structures (Revision of IEEE 977-1991)
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4141294&isnumber=4141293
+ IEEE 977-1991 guide to installation of foundations for transmission line structures
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=159161&isnumber=4113
+ P977/D2, Sep 2006
DRAFT Guide to Installation of Foundations for Transmission Line StructuresIEEE Standards Board Sponsor Transmission and Distribution Committee of the IEEE Power Engineering Society
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4039993&isnumber=4039992
+ P977/D3, Sep 2008
DRAFT Guide to Installation of Foundations for Transmission Line Structures
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4621337&isnumber=4621336
+ IEEE 1025-1993 guide to the assembly and erection of concrete pole structures
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=278287&isnumber=6893
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Nhờ bạn docat down giúp tớ bài báo này với, cảm ơn bạn rất nhiều:
1 X-ray lithography-an overview
http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=237534
2 X-ray lithography: overview and outlook
http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=675900
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Mình chỉ lấy đc tài liệu số 1 và 5; mấy cái còn lại thì thua

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chào nghichnham, nhờ download giùm 2 tài liệu sau nhé:
1. Non-linear predictive control of 2 DOF helicopter model
Dutka, A.S. Ordys, A.W. Grimble, M.J.
Ind. Control Centre, Strathclyde Univ., Glasgow, UK;
This paper appears in: Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
Publication Date: 9-12 Dec. 2003
Volume: 4, On page(s): 3954- 3959 vol.4
ISSN: 0191-2216
ISBN: 0-7803-7924-1
INSPEC Accession Number: 7929673
Digital Object Identifier: 10.1109/CDC.2003.1271768
Current Version Published: 2004-03-15
2. RBF neural network based predictive control of active power filter
Wang Xuhong Xiao Jinhua
Dept. of Electr. & Inf. Eng., Changsha Univ. of Sci. & Technol., China;
This paper appears in: TENCON 2004. 2004 IEEE Region 10 Conference
Publication Date: 21-24 Nov. 2004
Volume: D, On page(s): 109- 112 Vol. 4
ISBN: 0-7803-8560-8
INSPEC Accession Number: 8477793
Digital Object Identifier: 10.1109/TENCON.2004.1414880
Current Version Published: 2005-05-23
cám ơn nhiều nha.

Kính chào anh docat,
Nhờ anh dơnload giúp em mấy tài liệu sau với ạ:
1. Neuro-sliding mode control for magnetic levitation systems
Jiunshian Phuah Jianming Lu Yasser, M. Yahagi, T.
Graduate Sch. of Sci. & Technol., Chiba Univ., Japan;
This paper appears in: Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
Publication Date: 23-26 May 2005
On page(s): 5130- 5133 Vol. 5
ISBN: 0-7803-8834-8
INSPEC Accession Number: 8632924
Digital Object Identifier: 10.1109/ISCAS.2005.1465789
Current Version Published: 2005-07-25
Abstract
It is well known that sliding mode control (SMC) is capable of tackling systems with uncertainties. However, the discontinuous control signal causes the significant problem of chattering. Furthermore, thorough knowledge of the plant dynamics may be unknown or difficult to obtain, which makes it difficult to calculate the control law. A synergistic combination of neural network (NN) and SMC methodology is proposed. The network weights are adjusted using a modified online error backpropagation algorithm. Moreover, a new and simple approach is utilized to construct corrective controls of SMC to overcome the chattering problem. As a result, chattering is eliminated and the error performance of SMC is also improved. Experimental studies carried out on a magnetic levitation system are presented.
2. Neural Networks Control of a Magnetic Levitation System
Authors: Chaiban Nasr; LEBANESE UNIV TRIPOLI DEPT OF ELECTRICAL AND ELECTRONIC ENGINEERING

Abstract: This report results from a contract tasking Lebanese University- Faculty of Engineering, Section I as follows: The purpose of the work is a simulating investigation of the use of artificial neural networks (ANN) in conjunction of proportional-integral-derivative (PID) controllers in control of non-contacting active magnetic bearings (AMB). The objective of this technique is to reduce the effect of the unbalance on the rotor displacement without the estimating perturbation. The work consists of the following: 1) application of artificial neural networks (multi-layer perceptrons) for nonlinear model of the active magnetic bearing by using the dynamic back-propagation methods for the adjustment of parameters; and 2) application of artificial neural networks in controlling closed-loop active magnetic bearing and comparison with the use of PID controllers. The obtained results should create a basis for a further research program connecting the fundamental knowledge with practical applications
3. Intelligent Sliding-Mode Control Using RBFN for Magnetic Levitation System
Faa-Jeng Lin Li-Tao Teng Po-Huang Shieh
Dept. of Electr. Eng., Nat. Dong Hwa Univ., Hualien;
This paper appears in: Industrial Electronics, IEEE Transactions on
Publication Date: June 2007
Volume: 54, Issue: 3
On page(s): 1752-1762
ISSN: 0278-0046
INSPEC Accession Number: 9489044
Digital Object Identifier: 10.1109/TIE.2007.894710
Current Version Published: 2007-05-15



Abstract
An intelligent sliding-mode control system using a radial basis function network (SMCRBFN) is proposed to control the position of a levitated object of a magnetic levitation system to compensate the uncertainties including the friction force in this study. First, the dynamic model of the magnetic levitation system is derived. Then, a sliding-mode approach is proposed to compensate the uncertainties that occurred in the magnetic levitation system. Moreover, to relax the requirement of uncertainty bound in the design of a tra***ional sliding-mode control system and further increase the robustness of the magnetic levitation system, a radial basis function network estimator is proposed to estimate the uncertainties of the system dynamics online. The effectiveness of the proposed control scheme is verified by some experimental results. With the proposed SMCRBFN system, the position of the levitated object of the magnetic levitation system possesses the advantages of good transient control performance and robustness to uncertainties for tracking periodic trajectories
Xin cảm ơn anh và chúc anh an lành, may mắn !
Ute

Chào bạn docat, lại nhờ bạn giúp hộ cho tiêu chuẩn này:
+ IEEE 539-2005 Standard Definitions of Terms Relating to Corona and Field Effects of Overhead Power Lines
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1511884&isnumber=32369
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Em có yêu cầu này anh đừng giận , em cần mấy bài báo từ IEEE để dịch ra , em mới năm 1 BK DT , thầy cho BT Môn công tác kĩ sư là như vậy. Anh cho em xin mấy bài nào 3-4-5-6 trang để em dễ dịch .
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